This paper proposes an ontology-based intelligent system for malware behavioral analysis. The design background and structure of the Taiwan Malware Analysis Net (TWMAN) are presented to analyze the malware behavior. T...
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This paper proposes an ontology-based intelligent system for malware behavioral analysis. The design background and structure of the Taiwan Malware Analysis Net (TWMAN) are presented to analyze the malware behavior. The TWMAN is composed of the malware behavioral analysis agent and the ontology agent. All of the essential information of the TWMAN, including the malware behavioral ontology, which is store in an ontology repository. The malware behavioral analysis agent collects the malware behavioral information to build malware behavioral ontology and malware behavioral rules. The results from the system logs show that the TWMAN can work effectively based on the malware behavioral analysis to protect the computers from the attack of computer viruses and Trojans.
The performance of processing and visualising techniques in present satellite receiving systems is not optimally developed for the benefit of end users, especially for critical observation and analysis purpose. Curren...
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The performance of processing and visualising techniques in present satellite receiving systems is not optimally developed for the benefit of end users, especially for critical observation and analysis purpose. Currently, the existing satellite receiving system uses an enclosed method to process the incoming data which requires the whole packet of earth globe data to be fully received before retrieving geographical information and only allows the display of this data as a normal image file which cannot be further processed for better visualising purpose. To overcome this problem, we have devised an integrated software application with a smart visualisation topology algorithm embedded to provide the flexibility on data merging capable of displaying in different overlays. The benefit of this data combination is to allow users to directly evaluate the geographical data in user determined visual mode. It also has the capability to provide information for historical reporting and forecasting purpose in real time scheduled operation. The initial result reported in this paper shows that a better and faster way to visualise data at almost the same time as it is received is possible using the adapted algorithm.
Abstract: We study $H(\mathrm {div})$ preconditioning for the saddle-point systems that arise in a stochastic Galerkin mixed formulation of the steady-state diffusion problem with random data. The key ingredie...
Abstract: We study $H(\mathrm {div})$ preconditioning for the saddle-point systems that arise in a stochastic Galerkin mixed formulation of the steady-state diffusion problem with random data. The key ingredient is a multigrid V-cycle for an $H(\mathrm {div})$ operator with random weight function acting on a certain tensor product space of random fields with finite variance. We build on the Arnold-Falk-Winther multigrid algorithm presented in 1997 by varying the spatial discretization from grid to grid whilst keeping the stochastic discretization fixed. We extend the deterministic analysis to accommodate the modified $H(\mathrm {div})$ operator and establish spectral equivalence bounds with a new multigrid V-cycle operator that are independent of the spatial and stochastic discretization parameters. We implement multigrid within a block-diagonal preconditioner for the full saddle-point problem, derive eigenvalue bounds for the preconditioned system matrices and investigate the impact of all the discretization parameters on the convergence rate of preconditioned minres.
We prove a necessary and sufficient condition for the asymptotic stability of a 2-D system described by a system of higher-order linear partial difference equations. We use the definition of asymptotic stability given...
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We present a highly adaptive hierarchical representation of the topology of functions defined over two-manifold domains. Guided by the theory of Morse–Smale complexes, we encode dependencies between cancellations of ...
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In Mobile Ad hoc Network (MANETs), flooding is the simplest broadcasting mechanism where each node retransmits every uniquely received packet exactly once. Despite its simplicity it could potentially leads to high red...
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The first cluster‐based public computing for Monte Carlo simulation in Indonesia is introduced. The system has been developed to enable public to perform Monte Carlo simulation on a parallel computer through an integ...
The first cluster‐based public computing for Monte Carlo simulation in Indonesia is introduced. The system has been developed to enable public to perform Monte Carlo simulation on a parallel computer through an integrated and user friendly dynamic web interface. The beta version, so called publicMC@BATAN, has been released and implemented for internal users at the National Nuclear Energy Agency (BATAN). In this paper the concept and architecture of publicMC@BATAN are presented.
The paper explores new expansions of eigenvalues for - Δ u = λ ρ u in S with Dirichlet boundary conditions by Wilson's element. The expansions indicate that Wilson's element provides lower bounds of the eig...
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In order to use software processes for a spectrum of projects they are described in a generic way. Due to the uniqueness of software development, processes have to be adapted to project specific needs to be effectivel...
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ISBN:
(纸本)9789898111845
In order to use software processes for a spectrum of projects they are described in a generic way. Due to the uniqueness of software development, processes have to be adapted to project specific needs to be effectively applicable in projects. Siemens AG has started research projects aiming to improve this instantiation of processes. A system supporting project managers in instantiation of software processes at Siemens AG is being developed. It aims not only to execute instantiation decision made by humans but to automatically restore correctness of the resulting process.
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